
"""simple docstring"""





def  lowerCamelCase__						(     __snake_case = 60_08_51_47_51_43      )				->						int:


					"""simple docstring"""





					try:
										_UpperCamelCase									=    int(__snake_case      )
					except (TypeError, ValueError):
										raise TypeError('''Parameter n must be int or castable to int.'''      )
					if n <= 0:
										raise ValueError('''Parameter n must be greater than or equal to one.'''      )
					_UpperCamelCase									=    2
					_UpperCamelCase									=    0
					if n == 2:
										return 2
					while n > 2:
										while n % i != 0:
															i += 1
										_UpperCamelCase									=    i
										while n % i == 0:
															_UpperCamelCase									=    n // i
										i += 1
					return int(__snake_case      )


if __name__ == "__main__":
				print(F"""{solution() = }""")








from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_tokenizers_available, is_torch_available


lowerCamelCase_    :			Optional[int]    =	{
    """configuration_graphormer""": ["""GRAPHORMER_PRETRAINED_CONFIG_ARCHIVE_MAP""", """GraphormerConfig"""],
}

try:
							if not is_torch_available():
														raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
							pass
else:
							lowerCamelCase_    :			Union[str, Any]    =	[
							    """GRAPHORMER_PRETRAINED_MODEL_ARCHIVE_LIST""",
							    """GraphormerForGraphClassification""",
							    """GraphormerModel""",
							    """GraphormerPreTrainedModel""",
							]


if TYPE_CHECKING:
							from .configuration_graphormer import GRAPHORMER_PRETRAINED_CONFIG_ARCHIVE_MAP, GraphormerConfig

							try:
														if not is_torch_available():
																					raise OptionalDependencyNotAvailable()
							except OptionalDependencyNotAvailable:
														pass
							else:
														from .modeling_graphormer import (
														    GRAPHORMER_PRETRAINED_MODEL_ARCHIVE_LIST,
														    GraphormerForGraphClassification,
														    GraphormerModel,
														    GraphormerPreTrainedModel,
														)


else:
							import sys

							lowerCamelCase_    :			Optional[Any]    =	_LazyModule(__name__, globals()["""__file__"""], _import_structure, module_spec=__spec__)






